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Matematicheskaya Biologiya i Bioinformatika, 2014, Volume 9, Issue 2, Pages 527–533
(Mi mbb194)
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This article is cited in 1 scientific paper (total in 1 paper)
Bioinformatics
Identification of Gene Markers for Aggressive Forms of Low-Grade Glioma Using TCGA Expression Data
N. V. Ivanisenkoab, N. V. Gubanovaab, N. A. Kolchanovb, V. A. Ivanisenkob a Novosibirsk State University, Novosibirsk, Russia
b Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia
Abstract:
Low-grade glioma is a group of tumors of central nervous system. Unlike other malignant subtypes such as glioblastoma multiforme, low-grade gliomas have a lower mortality. However, after initial treatment in about 40% of low-grade gliomas new tumor events are observed. In this study identification of new genes responsible for the aggressive phenotype of tumors was carried out using RNA-seq data from the The Cancer Genome Atlas (TCGA) database. It was found that 85 genes with affected expression levels were associated with new tumors after initial treatment of low-grade glioma.
Key words:
low-grade glioma, RNA-seq, new tumor event, TCGA.
Received 27.11.2014, Published 18.12.2014
Citation:
N. V. Ivanisenko, N. V. Gubanova, N. A. Kolchanov, V. A. Ivanisenko, “Identification of Gene Markers for Aggressive Forms of Low-Grade Glioma Using TCGA Expression Data”, Mat. Biolog. Bioinform., 9:2 (2014), 527–533
Linking options:
https://www.mathnet.ru/eng/mbb194 https://www.mathnet.ru/eng/mbb/v9/i2/p527
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